API cost decision in 10 seconds

GPT-5 Mini vs Mistral Large 3 2512

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T18:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $1.25 for the standard 1M input plus 500K output workload.

Cost-first pickTie

Context-first pickGPT-5 Mini

Sample savings$00%

10x traffic gap$0

Context-window winner: GPT-5 Mini. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors GPT-5 Mini, balanced workload favors Mistral Large 3 2512, and output-heavy chatbot favors Mistral Large 3 2512.

Workload shape	Token mix	Better pick	GPT-5 Mini	Mistral Large 3 2512
Input-heavy / RAG	5M input + 500K output	GPT-5 Mini	$2.25	$3.25
Balanced workload	1M input + 1M output	Mistral Large 3 2512	$2.25	$2
Output-heavy chatbot	1M input + 5M output	Mistral Large 3 2512	$10.25	$8

Cheaper input GPT-5 Mini $0.25 vs $0.5 / 1M

GPT-5 Mini is $0.25 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output Mistral Large 3 2512 $2 vs $1.5 / 1M

Mistral Large 3 2512 is $0.5 cheaper per 1M output tokens (25% lower; 1.33x difference).

Larger context GPT-5 Mini 400K vs 262.14K

GPT-5 Mini has 137.86K more context (1.53x larger).

Sample workload Tie $1.25 vs $1.25

Both models have the same estimated cost for the standard 1M input plus 500K output workload: $1.25.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT-5 Mini Calculating… Estimated API cost

Mistral Large 3 2512 Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

GPT-5 Mini has the lower input price; Mistral Large 3 2512 has the lower output price; GPT-5 Mini offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is tied.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.25 for GPT-5 Mini and $1.25 for Mistral Large 3 2512.

Best Fit

Choose GPT-5 Mini when you care most about lower input-token price, and larger context window.

Choose Mistral Large 3 2512 when you care most about lower output-token price.

Decision Notes

Both models are estimated at $1.25 for the standard 1M input plus 500K output workload.
Both models have the same estimated cost for the standard 1M input plus 500K output workload: $1.25.
GPT-5 Mini is $0.25 cheaper per 1M input tokens (50% lower; 2x difference).
Mistral Large 3 2512 is $0.5 cheaper per 1M output tokens (25% lower; 1.33x difference).
GPT-5 Mini has 137.86K more context (1.53x larger).

Head-to-Head Specs

Feature	GPT-5 Mini (OpenAI)	Mistral Large 3 2512 (Mistral)
Input Price prompt tokens per 1M	$0.25	$0.5
Completion Price per 1M tokens	$2	$1.5
Sample Workload Cost 1M input + 500K output	$1.25	$1.25
Context Window	400K	262.14K
Release Date	2025-08-07	2025-12-01
Popularity	#33	#114

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Tie	Both models are estimated at $1.25 for the standard 1M input plus 500K output workload.
High-volume input processing	GPT-5 Mini	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Mistral Large 3 2512	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GPT-5 Mini	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

gpt-oss-120b (free) can replace GPT-5 Mini when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-5 Mini when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-5 Mini when lower sample workload cost matters most: $0.1.
gpt-oss-120b can replace GPT-5 Mini when lower sample workload cost matters most: $0.13.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

OpenAI catalog

Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.

Open OpenAI models

Mistral catalog

Check other Mistral models with comparable pricing, context, or release timing.

Open Mistral models

GPT-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

Mistral Large 3 2512

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.